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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19087
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    Explanations

    health-related terms related to medical conditions and bodily functions, specifically focusing on cancer risks and thyroid issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical conditions and cancers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tradable
    -1.02
    ovie
    -0.92
    hig
    -0.84
    ombie
    -0.82
    aneers
    -0.78
    DragonMagazine
    -0.75
    Original
    -0.75
    ÅĤ
    -0.75
     Bravo
    -0.74
    baugh
    -0.72
    POSITIVE LOGITS
     gland
    1.22
     disorders
    1.09
     asthma
    1.08
     thyroid
    1.07
     muc
    1.07
     symptoms
    1.06
     hormone
    1.05
     inflammation
    1.04
     hormones
    1.03
     hormonal
    1.02
    Activations Density 0.097%

    No Known Activations